Taking the Google Data Analytics Professional Certificate course is a great way to learn important data analytics skills useful in today’s world where data is super important. This course helps you understand and work with big data sets, find useful information, and make smart decisions based on what you find. Learning these skills not only helps you get better job opportunities but also helps companies use data to improve their plans and strategies. I will provide a comprehensive review of this professional certificate offered by Google through Coursera.
Table of Contents
Course Overview: Google Data Analytics
This Google Career certificate will prepare me for a new career in the high-growth Data Analytics field in under six months. This course is tailored for beginners, requiring no prior experience or degree. Great opportunity to acquire essential skills for an entry-level data analyst job with the help of professional training designed by Google. You will learn from subject-matter experts at Google and have a chance to build your portfolio with projects.
Course Content:
This professional certificate has a series of 8 well-designed courses which will cover all foundations & advanced topics of data analytics. Each Module considers being completed in one week.
Course 1: Foundations: Data, Data, Everywhere
Start your journey in the Google Data Analytics Certificate with this introductory course. Gain skills for entry-level data analyst positions across industries. The Google-developed hands-on curriculum introduces key data analytics concepts, tools, and processes. Learn data cleaning, analysis, and visualization using spreadsheets, SQL, R programming, and Tableau. Get insights into the data life cycle, analysis process, and analytics’ role in the data ecosystem. The estimated course completion time is 22 hours.
Module 1: Introduction Data Analytics
Module 2: All About Analytical Thinking
Module 3: The Wonderful World of Data
Module 4: Set Up Your Toolbox
Module 5: Endless Career Possibilities
Course 2: Ask Questions to Make Data-Driven Decisions
Advance your skills in the Google Data Analytics Certificate’s second course. Build on concepts from the first course and learn effective questioning, data-driven decisions, and presentation skills. Real-world scenarios and hands-on guidance from Google data analysts enhance your understanding. Develop structured thinking and Excel proficiency. Manage stakeholder expectations and communicate effectively within a data analytics team. Equip yourself for entry-level data analyst jobs upon course completion. No prior experience is required. The estimated course completion time is 21 hours.
Module 1: Effective Questions
Module 2: Data-Driven Decisions
Module 3: More Spreadsheet Basics
Module 4: Always Remember the Stakeholder
Module 5: Connecting to the Internet
Course 3: Prepare Data for Exploration
Continue your journey with the third course in the Google Data Analytics Certificate. Expand your skills for entry-level data analyst roles. Learn about effective data collection, types, formats, and identifying bias. Explore spreadsheets, SQL, databases, and ethics. Discover practices for accessing, organizing, and securing data. Google data analysts provide hands-on guidance. The estimated course completion time is 23 hours.
Module 1: Data Types and Structures
Module 2: Bias, Credibility, Privacy, Ethics, and Access
Module 3: Databases: Where Data Lives
Module 4: Organizing and Protecting Your Data
Module 5: Optional: Engaging in the Data Community
Module 6: Course Challenge
Course 4: Process Data from Dirty to Clean
In the Google Data Analytics Certificate’s fourth course, you’ll continue building skills for entry-level data analyst positions. Learn to ensure data integrity, clean data with spreadsheets and SQL, and verify and report your cleaning outcomes. Delve into basic SQL queries and functions for data transformation. Guided by Google data analysts, you’ll gain hands-on experience in these tasks using practical tools. By course completion, you’ll have the expertise to apply for introductory-level data analyst jobs. The estimated course completion time is 23 hours.
Module 1: The Importance of Integrity
Module 2: Sparkling-Clean Data
Module 3: Cleaning Data with SQL
Module 4: Verify and Report on Your Cleaning Results
Module 5: Optional: Adding Data to Your Resume
Module 6: Course Challenge
Course 5: Analyze Data to Answer Questions
In this course, sharpening skills for entry-level data analyst roles. Focus on the “analyze” phase of data analysis. Organize, format, and perform calculations with data using spreadsheets and SQL. Learn aggregation, formulas, functions, and SQL queries. Guided by Google data analysts, gain practical experience in common data analyst tasks. No prior experience is needed; be equipped for introductory-level jobs upon program completion. The estimated course completion time is 26 hours.
Module 1: Organizing Data to Begin Analysis
Module 2: Formatting and Adjusting Data
Module 3: Aggregating Data for Analysis
Module 4: Performing Data Calculations
Course 6: Share Data Through the Art of Visualization
Master vital data presentation skills in this course, tailored for entry-level data analyst roles. Learn to visualize findings and bring data to life with visual dashboards and Tableau. Discover narrative crafting, effective visualization, and presentation principles. Guided by Google data analysts, acquire hands-on experience in common data analyst tasks. No prior experience is needed. Upon program completion, be equipped to apply for introductory-level data analyst jobs. The estimated course completion time is 24 hours.
Module 1: Visualizing Data
Module 2: Creating Data Visualizations with Tableau
Module 3: Crafting Data Stories
Module 4: Developing Presentations and Slideshows
Course 7: Data Analysis with R Programming
Master essential R programming skills for entry-level data analyst roles in this course. Learn to use R and RStudio for cleaning, organizing, analyzing, visualizing, and reporting data. Explore R packages, Tidyverse, data frames, and visualization in R. Guided by Google data analysts, acquire hands-on experience for common data analyst tasks. Upon program completion, be equipped to apply for introductory-level data analyst jobs. The estimated course completion time is 36 hours.
Module 1: Programming and Data Analytics
Module 2: Programming Using RStudio
Module 3: Working with Data in R
Module 4: More about Visualizations, Aesthetic, and Annotations
Module 5: Documentation and Reports
Course 8: Analyze Data to Answer Questions
Conclude the Google Data Analytics Certificate with this final course. Opt for an optional case study to prepare for data analytics job searches, an evaluation tool employers use. Choose an analytics-based scenario, ask questions, process, analyze, visualize data, and act on insights. Learn job hunt skills like interview questions, portfolio building, and more through videos. Guided by Google data analysts, gain hands-on experience in common data analyst tasks. Upon program completion, be equipped to apply for introductory-level data analyst jobs. The estimated course completion time is 26 hours.
Module 1: Learn About Capstone Basics
Module 2: Optional: Building Your Portfolio
Module 3: Optional: Using Your Portfolio
Module 4: Putting Your Certificate to Work
Major Learnings:
- Gain an immersive understanding of the practices and processes a junior or associate data analyst uses in their day-to-day job.
- Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
- Understand how to clean and organize data for analysis and complete analysis and calculations using spreadsheets, SQL, and R programming.
- Learn how to visualize and present data findings in dashboards, presentations, and commonly used visualization platforms.
Skills you will gain include Data cleaning, problem-solving, critical thinking, data ethics, data visualization, and more.
Platforms and tools you will learn include Presentations, Spreadsheets, SQL, Tableau, and R Programming.
Course Format and Duration:
This course is completely online, so attending a classroom in person is unnecessary. You can access your lectures, readings, and assignments anytime and anywhere via the web or mobile. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. This program includes over 180 hours of instruction and hundreds of practice-based assessments. Ideally, it will take 6 months to complete if you spend 10 hours a week. Moreover, this course has a flexible schedule, meaning everyone can learn at their own pace.
Certificates and Credentials:
Finally, you will earn a Google career certificate after all your hard work. This Professional Certificate has an ACE® recommendation. This program is ACE® approved—when you complete it, you can earn up to 12 college credits, the equivalent of 4 college courses at the bachelor’s degree level. You can add these credentials to your LinkedIn profile, resume, or CV Share it on social media and in your performance review.
Pricing:
Google IT Support professional certificate will cost $ 49 per month in the U.S. and Canada. You can save money by increasing the course pace. Suppose you complete the course in the recommended 6 months, it will cost you USD 294, and if you complete the course in 3 months, it will cost you $ 147 US. Your cost may be lower in other countries where Google Career Certificates are available. Enroll Now
Coursera also offers 7 days free trial with unlimited access to all courses in the certificate. You can cancel the trial at any time with no penalties if you cancel before the trial ends if it’s not right for you.
Coursera Also offers financial aid in case you cannot bear course fees. All you need to do is apply for financial aid and wait up to 16 days until your aid is approved.
Reviews from Other Users:
This professional certificate has a rating of 4.8 stars by 120K+ learners, which shows this course adds great value to the course graduate career. Based on the survey, 75% of certificate graduates report positive outcomes.
Community and Networking Opportunities:
In addition to expert-led training and hands-on projects designed to prepare you for a job, you’ll get access to an interview practice tool, mock interviews, resume-building workshops, career coaching sessions, and more. Upon completing a Google Career Certificate, like this one, certificate graduates in the U.S. can share their information with top U.S. employers hiring entry-level professionals, like Deloitte, Macy’s, Infosys, Walmart, and of course, Google. Employer consortiums are currently available in the U.S., Canada, India, Singapore, and Indonesia and are coming to more countries soon. The employers included will vary by country.
Conclusion and Recommendation:
If you want to master essential Data Analytics skills, the Google Data Analytics Professional Certificate is the way to go. This course equips you with the ability to handle and analyze large datasets, extract valuable insights, and make informed decisions. Not only does it enhance your job prospects, but it also empowers businesses to improve strategies using data. With well-structured courses, real-world projects, and flexible learning options, this certification is valuable for your career growth.
Comparison with Similar Courses:
If you are interested in specifically learning digital marketing & want to become Google certified digital marketer. In that case, I recommend you look at the Google Digital Marketing and E-Commerce professional course review offered on Coursera.
